计算机科学 ›› 2014, Vol. 41 ›› Issue (12): 264-268.doi: 10.11896/j.issn.1002-137X.2014.12.057
李新江,龚勋,李天瑞,赵涛,熊伟
LI Xin-jiang,GONG Xun,LI Tian-rui,ZHAO Tao and XIONG Wei
摘要: 为了解决目前行人检测技术的检测速度和准确性之间的平衡问题,对基于视频的行人检测技术进行了研究,提出了利用LUV颜色空间信息与C4行人检测算法相结合的视频自动行人检测方法(LUVC4)。首先利用C4行人检测算法快速遍历视频的每帧图像,当得到的窗口置信度在可疑区间时,再进一步对该窗口做LUV颜色空间检测。如果两次检测的加权和分数满足阈值,则判别为行人。通过大量实验表明,该方法在检测速度几乎能达到C4速度的同时,还能在FPPI为0.1时降低约9%的漏检率。
[1] Wu J,Rehg J M.CENTRIST:A visual descriptor for scene categorization[J].IEEE Transactions on Pattern Analysis and Machine Intelligence,2011,33(8):1489-1501 [2] 苏松志,李绍滋,陈淑媛,等.行人检测技术综述[J].电子学报,2012,40(4):814-820 [3] Zhu Q,Yeh M,Cheng K,et al.Fast human detection using a cascade of histograms of oriented gradients[C]∥Proceedings of the 2006 IEEE Computer Society Conference on Computer Vision Pattern Recognition.2006:1491-1498 [4] Dalal N,Triggs B.Histograms of oriented gradients for human detection[C]∥Proceedings of the 2005 IEEE Computer Society Conference on Computer Vision Pattern Recognition.2005:886-893 [5] 孙昀,刘富强,李志鹏.基于空间梯度直方图的行人检测算法[J].中国图象图形学报,2008,13(10):1825-1828 [6] Enzweiler M,Gavrila D M.Monocular pedestrian detection:Survey and experiments[J].IEEE Transactions on Pattern Analysis and Machine Intelligence,2009,31(12):2179-2195 [7] Dollár P,Wojek C,Schiele B,et al.Pedestrian detection:Abenchmark[C]∥Proceedings of the 2009 IEEE Conference on Computer Vision Pattern Recognition.2009:304-311 [8] Dollár P,Wojek C,Schiele B,et al.Pedestrian detection:An evaluation of the state of the art[J].IEEE Transactions on Pattern Analysis and Machine Intelligence,2012,34(4):743-761 [9] Dollár P,Belongie S,Perona P.The fastest pedestrian detector in the west[C]∥BMVC 2010.Aberystwyth,UK,2010 [10] Walk S,Majer N,Schindler K,et al.New features and insights for pedestrian detection[C]∥IEEE Proceedings of the 2010 IEEE Conference on Computer Vision Pattern Recognition.2010:1030-1037 [11] Benenson R,Mathias M,Timofte R,et al.Fast stixel computation for fast pedestrian detection[C]∥Proceedings ECCV.2012:11-20 [12] Benenson R,Mathias M,Timofte R,et al.Pedestrian detection at 100 frames per second[C]∥Proceedings of the 2012 IEEE Conference on Computer Vision Pattern Recognition.2012:2903-2910 [13] Benenson R,Timofte R,Van Gool L.Stixels estimation without depth map computation[C]∥IEEE ICCV Workshops.2011:2010-2017 [14] Wu J,Geyer C,Rehe J M.Real-time human detection using contour cues[C]∥Proceedings of the 2011 IEEE International Conference on Robotics and Automation(ICRA).2011:860-867 [15] Wang Q,Pang J,Liu G,et al.Color Maximal-Dissimilarity Pattern for Pedestrian Detection[C]∥Proceedings of the 2012 21st International Conference on Pattern Cognition.2012:1952-1955 [16] Wang Q,Pang J,Qin L,et al.Justifying the importance of color cues in object detection:a case study on pedestrian[M]∥The Era of Interactive Media.Springer,2013:387-397 [17] Van De Sande K E,Gevers T,Snoek C G.Evaluating color descriptors for object and scene recognition[J].IEEE Transactions on Pattern Analysis and Machine Intelligence,2010,32(9):1582-1596 [18] Ojala T,Pietikainen M,Maenpaa T.Multiresolution gray-scale and rotation invariant texture classification with local binary patterns[J].IEEE Transactions on Pattern Analysis and Machine Intelligence,2002,24(7):971-987 [19] Wu J.A fast dual method for HIK SVM learning[M]∥Computer Vision-ECCV 2010.Springer,2010,552-565 [20] Lampert C H,Blaschko M B,Hofmann T.Efficient subwindow search:A branch and bound framework for object localization[J].IEEE Transactions on Pattern Analysis and Machine Intelligence,2009,31(12):2129-2142 |
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